Roi Reichart

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SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation

Felix Hill, Roi Reichart, Anna Korhonen
Computational Linguistics
2015

We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such… (More)

Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Nikola Mrksic, Ivan Vulic, +5 authors Steve J. Young
2017

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen
EMNLP
2016

Verbs play a critical role in the meaning of sentences, but these ubiquitous words have received little attention in recent distributional semantics research. We introduce SimVerb-3500, an evaluation… (More)

Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction

Roy Schwartz, Roi Reichart, Ari Rappoport
CoNLL
2015

We present a novel word level vector representation based on symmetric patterns (SPs). For this aim we automatically acquire SPs (e.g., “X and Y”) from a large corpus of plain text, and generate… (More)

Modeling the Detection of Textual Cyberbullying

Karthik Dinakar, Roi Reichart, Henry Lieberman
The Social Mobile Web
2011

The scourge of cyberbullying has assumed alarming proportions with an ever-increasing number of adolescents admitting to having dealt with it either as a victim or as a bystander. Anonymity and the… (More)

Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules

Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen
ACL
2017

Morphologically rich languages accentuate two properties of distributional vector space models: 1) the difficulty of inducing accurate representations for lowfrequency word forms; and 2)… (More)

The NVI Clustering Evaluation Measure

Clustering is crucial for many NLP tasks and applications. However, evaluating the results of a clustering algorithm is hard. In this paper we focus on the evaluation setting in which a gold standard… (More)

Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling

Ira Leviant, Roi Reichart
2015

A common evaluation practice in the vector space models (VSMs) literature is to measure the models’ ability to predict human judgments about lexical semantic relations between word pairs. Most… (More)

Improved Unsupervised POS Induction through Prototype Discovery

We present a novel fully unsupervised algorithm for POS induction from plain text, motivated by the cognitive notion of prototypes. The algorithm first identifies landmark clusters of words, serving… (More)

Multi-Task Active Learning for Linguistic Annotations

Roi Reichart, Katrin Tomanek, Udo Hahn, Ari Rappoport
ACL
2008

We extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm, we select examples for several annotation tasks rather than for a single one as… (More)

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